oza75/nllb-600M-mt-french-bambara

README.md

@@ -1,15 +1,53 @@
 ---
-datasets:
-- oza75/mt-fr-bm-texts
-language:
-- bm
-- fr
-metrics:
-- sacrebleu
-pipeline_tag: translation
-inference:
-  parameters:
-    max_length: 512
-    src_lang: fra_Latn
-    tgt_lang: bam_Latn
----
+license: cc-by-nc-4.0
+base_model: facebook/nllb-200-distilled-600M
+tags:
+- generated_from_trainer
+model-index:
+- name: nllb-600M-mt-french-bambara
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# nllb-600M-mt-french-bambara
+
+This model is a fine-tuned version of [facebook/nllb-200-distilled-600M](https://huggingface.co/facebook/nllb-200-distilled-600M) on an unknown dataset.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.35.1
+- Pytorch 2.2.0+cu121
+- Datasets 2.14.7
+- Tokenizers 0.14.1

generation_config.json

@@ -0,0 +1,9 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "max_length": 200,
+  "pad_token_id": 1,
+  "transformers_version": "4.35.1"
+}